Senior Data Engineer

Neotalent Conclusion; Porto; Hybrid; EUR 65.000 - 95.000; Vollzeit

Benefits dieser Stelle

Remote work possibility

Continuous training and certifications

Internal mobility program

Zusammenfassung

Neotalent Conclusion is seeking a Senior Data Engineer to design end-to-end data architectures, govern complex data platforms, and drive scalable, secure, and compliant data solutions in a strategic enterprise environment.

You will lead multidisciplinary teams, promote best practices in data engineering, governance, and enterprise architecture while shaping data lake, lakehouse, and data warehouse strategies across cloud platforms (Azure, AWS, GCP).

Qualifikationen

• Experience designing end-to-end data solutions and governance.
• Strong background in data ingestion, processing, storage, and consumption patterns.
• Proven ability to define reference architectures and design standards.
• Knowledge of data security, regulatory compliance, and observability.
• Ability to lead multidisciplinary teams and drive best practices in data engineering.

Aufgaben

• Analyze requirements to support architectural decisions.
• Design end-to-end data architectures for ingestion, processing, storage, governance, and consumption.
• Define data models and integration patterns (ETL/ELT, streaming, CDC, APIs, event-driven).
• Evaluate technology options and document decisions with reference architectures.
• Ensure solutions meet scalability, performance, security, resilience, and governance needs.
• Provide technical guidance to data engineers, architects, and implementation teams.

Kenntnisse

Data modeling

Data architectures

ETL/ELT

CDC/Streaming

APIs

Event-driven

Big data

Cloud platforms

Tools

Microsoft Azure

AWS

Google Cloud Platform

Jobbeschreibung

Neotalent Conclusion is one of the leading Iberian specialists providing services in Information Technology and Engineering services. As part of the Netherlands-based organization Conclusion, which has an ecosystem of over 25 companies and 3,600 employees, we are focused on increasing the technological capacity of our clients and the digital transformation of their application ecosystems.

We are talent specialists, attracting the best people and combining them with the needs of the most ambitious projects, at the right time. Our success comes from our investments in innovation, our focus on results, and, above all, the guarantee that our people will have happy and rewarding careers.

With over 25 years of solid experience, Neotalent Conclusion has established its presence in key locations, including Lisbon, Porto, and Madrid. The company currently has more than 950 professionals in the different areas in which it operates.

Neotalent, the responsive people.

Find out more about us at www.neotalentconclusion.com.

Role Overview

We are looking for a Senior Data Engineer to join our teams and contribute to the definition, evolution, and governance of complex data architectures within a large-scale and strategic environment. In this role, you will be responsible for designing end-to-end data solutions, driving architectural decisions, evaluating technology alternatives, and ensuring that data platforms are scalable, resilient, secure, and aligned with business objectives.

You will also provide technical leadership to multidisciplinary teams and support the adoption of best practices in data engineering, data governance, and enterprise architecture.

What you will do

• Analyze, challenge, and refine business, functional, and non-functional requirements to support architectural decisions;
• Design end-to-end data architectures covering data ingestion, integration, processing, storage, governance, and consumption;
• Define data models and integration patterns, including ETL/ELT, streaming, Change Data Capture (CDC), APIs, and event-driven architectures;
• Evaluate technology options, identify architectural trade-offs, document decisions, and establish reference architectures and design standards;
• Ensure data solutions meet requirements related to scalability, performance, security, resilience, data quality, governance, observability, and regulatory compliance;
• Provide technical guidance to Data Engineers, Architects, and implementation teams, while collaborating with business and technology stakeholders;
• Define architectures for Data Lakes, Lakehouses, Data Warehouses, Data Marts, and cloud-based analytical platforms;
• Produce architecture documentation, technical assessments, diagrams, and recommendations, presenting and defending solutions to technical and business audiences.

What you are like

• Previous experience with data modeling, including relational, dimensional, NoSQL, document, graph, geospatial, and time-series models;
• Experience with Data Warehouse, Data Lake, Lakehouse, Big Data, and modern analytics architectures;
• Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP);
• Strong expertise in data integration architectures, including ETL/ELT processes, streaming, CDC, APIs, and event-driven solutions;
• Experience in defining reference architectures, architectural principles, standards, and enterprise architecture frameworks will be a plus;
• Work on challenging projects for big clients;
• Learn more about emerging technologies;
• Possibility of working remotely;
• Design your career plan;
• Access to continuous training and certifications;
• Evolve through our internal mobility program;